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@article{176187,
        author = {Sejal Rajesh Khatti and Amit S. Kakad and Bharti Vilas Thote},
        title = {A REVIEW OF FINANCIAL DASHBORAD FOR INVESTMENT RECOMMENDATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6345-6347},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176187},
        abstract = {The “Financial Dashborad For Investment Recommendation” could be a web based platform that gives personalized investment options or plans.It assembles user data such as age,compensation costs,number of dependent and other major and minor expenses to supply custom made venture proposals,counting stocks,FDs,cryptocurrencies and commodities Utilizing algorithms calculations,the platform analyzes information and inclinations to prescribe resonable ventures based on user’s financial circumstances and hazard resilence.Most of the recommendation systems work on content based filtering and collaborative filtering ML algorithms. The proposed platform uses content-based filtering to provide the personalized recommendation to the users.
Keywords—ML, collaborative filtering, content-based filtering, recommendation system.},
        keywords = {},
        month = {April},
        }